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Enables sampling from arbitrary distributions if the log density is known up to a constant; a common situation in the context of Bayesian inference. The implemented sampling algorithm was proposed by Vihola (2012) doi:10.1007/s11222-011-9269-5 and achieves often a high efficiency by tuning the proposal distributions to a user defined acceptance rate.
github.com/scheidan/adaptMCMC | |
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